126 to 150 of 457 Databricks Jobs

identify risks, without prompting Proficient at communicating results in a concise manner both verbally and written Desirable Hands-on experience in the cloud platform and tools (i.e. Azure, AWS, Databricks) Insurance or financial services experience Knowledge and awareness of the latest tools, techniques and technology across the analytics marketplace Behaviours: Team player Self-motivated with a drive to learn and More ❯

passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have: Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per week in a More ❯

passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have: Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per week in a More ❯

projects involving data transformation and loading into Databricks. Strong understanding of data pipeline architectures and best practices. Proficiency in programming languages such as Python, SQL, or Scala. Experience with Databricks and related tools and technologies. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Preferred Skills: Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud). More ❯

to complex work Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. Expertise with python/R, Databricks, SQL. Experience working in a cross-functional and/or enterprise roles. Experience working with financial linkage models and Bayesian models is a plus. Familiarity with customer experience domain and More ❯

engineers and scientists working across Africa, Europe, the UK and the US. ABOUT THE ROLE Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data Mesh, lakehouse, data vault and data warehouses. Our data … RESPONSIBILITIES Data Pipeline Development: Lead the design, implement, and maintain scalable data pipelines for ingesting, processing, and transforming large volumes of data from various sources using tools such as databricks, python and pyspark. Data Architecture: Architect scalable and efficient data solutions using the appropriate architecture design, opting for modern architectures where possible. Data Modeling: Design and optimize data models and … or SQL for data manipulation and scripting. Strong understanding of data modelling concepts and techniques, including relational and dimensional modelling. Experience in big data technologies and frameworks such as Databricks, Spark, Kafka, and Flink. Experience in using modern data architectures, such as lakehouse. Experience with CI/CD pipelines, version control systems like Git, and containerization (e.g., Docker). Experience More ❯

data visualisation skills (any tool – the team use Power BI). A track record of turning data into insight — your CV should show clear, tangible examples. Bonus points for: Databricks and/or Python experience (these will make you stand out). A background in finance or retail . If you love digging into data, working with commercial teams, and More ❯

data visualisation skills (any tool – the team use Power BI). A track record of turning data into insight — your CV should show clear, tangible examples. Bonus points for: Databricks and/or Python experience (these will make you stand out). A background in finance or retail . If you love digging into data, working with commercial teams, and More ❯

data visualisation skills (any tool – the team use Power BI). A track record of turning data into insight — your CV should show clear, tangible examples. Bonus points for: Databricks and/or Python experience (these will make you stand out). A background in finance or retail . If you love digging into data, working with commercial teams, and More ❯

multiple teams. This role falls outside IR35 and will require some travel to client sites. The chosen candidate will have experience in AWS, Azure and a strong knowledge of Databricks (ideally with some fabric exposure too). Key Responsibilities Lead the design and optimisation of scalable data architectures across cloud platforms. Drive the development of high-performance data pipelines and More ❯

Strong proficiency in SQL scripting, including writing and executing complex queries. Hands-on experience with structured and unstructured data testing. Good understanding of Azure data services , including Data Factory, Databricks, Synapse (Azure SQL DW), Cosmos DB, and Azure Data Lake. Knowledge of data testing concepts and best practices within data warehouse environments. Hands-on experience with Python/PySpark scripting More ❯

scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing. Manage ML lifecycle with tools such as Databricks , MLflow , and cloud-native platforms (Azure preferred). Collaborate with engineering teams to ensure scalable, secure ML infrastructure aligned with compliance standards (e.g., ISO27001). Ensure data governance, particularly around More ❯

scikit-learn, PyTorch, TensorFlow, and XGBoost. Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing. Manage ML lifecycle with tools such as Databricks , MLflow , and cloud-native platforms (Azure preferred). Collaborate with engineering teams to ensure scalable, secure ML infrastructure aligned with compliance standards (e.g., ISO27001). Ensure data governance, particularly around More ❯

meet client needs using advanced analytics tools. Collaborate closely with clients to guide AI solutions from concept to full-scale deployment. Utilize big data tools and platforms, such as Databricks, to create scalable and efficient AI-driven solutions. What You'll Bring: Active TS/SCI security clearance and the ability to work from a SCIF. Based in Washington DC More ❯

including 4+ years in pre-sales/solutioning. Banking transformation expertise (regulatory reporting, finance/data modernisation). Strong cloud/data architecture skills (Azure/AWS/GCP, Databricks, Snowflake, Synapse). Data governance expertise and RFP/RFI leadership. Why apply? Senior, strategic role with real influence. Opportunity to lead major banking transformation initiatives. Excellent package and hybrid More ❯

including 4+ years in pre-sales/solutioning. Banking transformation expertise (regulatory reporting, finance/data modernisation). Strong cloud/data architecture skills (Azure/AWS/GCP, Databricks, Snowflake, Synapse). Data governance expertise and RFP/RFI leadership. Why apply? Senior, strategic role with real influence. Opportunity to lead major banking transformation initiatives. Excellent package and hybrid More ❯

GCP/BigQuery (or similar cloud platforms). Education: Degree in Investments, Accounting, Actuarial Science, or related discipline from a UK university. Nice to Have Experience with dbt or Databricks . Background in life insurance, reinsurance, or large-scale investment projects. Interview Process Stage 1: Initial 20-30 min screening call (CV and experience overview). Stage 2: 1-hour More ❯

warehouses). Desirable Awareness of cloud-based platforms (eg, Azure) and their implications for data and application strategy. Familiarity with data warehousing solutions or modern analytics stacks (eg, Snowflake, Databricks). Understanding of information security best practices and regulatory frameworks (eg, GDPR, ISO 27001). Knowledge of ITIL practices or service management frameworks. Your Experience We are looking for someone More ❯

warehousing, facts, dimensions, and star schema concepts and terminology Strong proficiency with SQL Server, T-SQL, SSIS, stored procedures, ELT processes, scripts, and complex queries Working knowledge of Azure Databricks, Delta Lake, Synapse and Python Experience with evaluating implemented data systems for variances, discrepancies, and efficiency Experience with Azure DevOps and Agile/Scrum development methods Auditing databases to maintain More ❯

solutions for customers. Take ownership of customer data workflows-from ideation through to deployment of AI models in real-world environments. Utilize integrations with large-scale data platforms (e.g., Databricks) to build scalable solutions as needed. Requirements: Active TS/SCI security clearance and willingness to work in a SCIF when required. Reside in or near Washington DC/Northern More ❯

and strategy documentation Run quality assessments of counterparts design Adhere to the organisations Release and Change process The individual: Expert knowledge of authoring/troubleshooting SQL/Azure/Databricks queries Expert knowledge and application of general and tool specific connectivity, data modeling, source data procurement strategies (Database, import/cached), security configuration, performance tuning, usage of right visuals, layout More ❯

repositories. Proven ability to manage secure, high-performance database environments. Excellent communication and cross-functional collaboration skills. A passion for continuous learning and innovation. Desirable: AzureSynapse/Sharedo/Databricks Python/Flink/Kafka technology If you are interested in this Senior Database Developer position and have the relevant skills and experience required, please apply now! Red Recruitment (Agency More ❯

and strategy documentation Run quality assessments of counterparts’ design Adhere to the organisations Release and Change process The individual: Expert knowledge of authoring/troubleshooting SQL/Azure/Databricks queries Expert knowledge and application of general and tool specific connectivity, data modeling, source data procurement strategies (Database, import/cached), security configuration, performance tuning, usage of right visuals, layout More ❯

teams through complex transformation programmes. Shape enterprise data strategies, governance frameworks, and operating models. Engage in high-level conversations around AI, GenAI, and modern data platforms like Snowflake and Databricks - you don't need to be a deep technical SME, but you'll need to understand the landscape. Drive client growth by identifying opportunities, building relationships, and offering the right More ❯

teams through complex transformation programmes. Shape enterprise data strategies, governance frameworks, and operating models. Engage in high-level conversations around AI, GenAI, and modern data platforms like Snowflake and Databricks - you don't need to be a deep technical SME, but you'll need to understand the landscape. Drive client growth by identifying opportunities, building relationships, and offering the right More ❯